Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 472

The DOI matches its Crossref record.

Modeling of DFIG-Based Wind Farms for SSR Analysis

Fan, Lingling, Kavasseri, Rajesh, Miao, Zhixin Lee, Zhu, Chanxia·2010·IEEE Transactions on Power Delivery

Abstract

This paper conducts an analysis of subsynchronous resonance (SSR) phenomena in doubly-fed induction generator (DFIG)-based wind farms interconnected with series compensated networks. A dynamic model is developed to analyze the induction generator effect (IGE) and torsional interaction (TI) in such systems. A test system derived from the IEEE first benchmark model is considered for the analysis. The effect of two factors namely: 1) series compensation level and 2) wind speed on the IGE and TI are studied. In addition, impact of the inner current converter controller parameters and turbine parameters on SSR is also addressed. Small signal (eigenvalue) analysis is conducted to assess the damping of network and torsional modes followed by dynamic (time domain) simulations. The major contribution of this paper is the analytical investigation on SSR phenomena presented in DFIG-based wind farms interconnected with series compensated networks. The paper clearly demonstrates that IGE instead of TI is the major reason for SSR in such systems.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tpwrd.2010.2050912

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 472

Metadata

Authors
Fan, L., Kavasseri, R., Miao, Z. L., & Zhu, C.
Venue
IEEE Transactions on Power Delivery
Published
2010-10
Volume
25
Issue
4
Pages
2073-2082
ISSN
  • 0885-8977 (ISSN-L)
  • 1937-4208
OpenAlex
W2116579540
Cited by
472
References
0
FWCI
10.72
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Modeling of DFIG-Based Wind Farms for SSR Analysis. https://app.cochat.ai/papers/10.1109/tpwrd.2010.2050912
The paper
Fan, L., Kavasseri, R., Miao, Z. L., & Zhu, C. (2010). Modeling of DFIG-Based Wind Farms for SSR Analysis. IEEE Transactions on Power Delivery. https://doi.org/10.1109/tpwrd.2010.2050912

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.